Let's take an example from one of my jobs on the farm, spreading fertilizer. Spreading fertilizer involves using a fertilizer spreader on the back of a tractor like the one seen below and trying to judge where to spread the fertilizer based on lines made in the field by the tractor. Many people would think that it would be easy to see the tracks made by the tractor so placing the tractor a certain distance away from the previous track when spreading should be simple right? If there is a lot of grass in the field then maybe the tracks are easy to see but when there is very little grass it becomes nearly impossible to judge where to drive the tractor. So much so that spreading the field becomes a whole guessing game for when to turn hoping that you don't spread the same area twice. Getting the perfect even coverage just isn't really a possibility to the point where my father would say "just spread it the best you can it will be grand".
Fertilizer Spreader Example |
Researchers from the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern, Germany demonstrated how the interaction of machines in cyber-physical systems operates safely and securely at the "Embedded World 2013" trade show in Nuremberg. These researchers believe that in the future, agricultural machines will be able to communicate with each other and will be controlled via smartphone or tablet.
by Thomas Murphy.
Smart Agriculture
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